Title :
Wavelet improved edge detectors for Unmanned Aircraft System boundary extraction
Author :
Zhang, G.Z. ; Zhao, K.J. ; Hu, J. ; Wang, T.
Author_Institution :
New Star Res. Inst. of Appl. Technol., Hefei, China
Abstract :
In this paper, we focus on the problem of Unmanned Aircraft System (UAS) boundary detection, one of the most important intermediate steps to intelligent acquisition and processing, and proposed a wavelet transform optimization scheme for the purpose of improving traditional edge detect operators performance. The experimental evidence on Global Hawk unmanned system boundary extraction indicates the efficiency of our proposed strategy.
Keywords :
aircraft; edge detection; optimisation; remotely operated vehicles; robot vision; wavelet transforms; Global Hawk unmanned system boundary extraction; intelligent acquisition; intelligent processing; unmanned aircraft system boundary extraction; wavelet improved edge detectors; wavelet transform optimization scheme; Image edge detection; Unmanned aerial vehicles; edge detection; image processing; unmanned aircraft system;
Conference_Titel :
Information Networking and Automation (ICINA), 2010 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-8104-0
Electronic_ISBN :
978-1-4244-8106-4
DOI :
10.1109/ICINA.2010.5636437
